Chief of Staff
About the role
Chief of Staff role at Eventual, a YC-backed AI data infrastructure company. You will own the company’s operating cadence, navigate cross-functional initiatives, and move between go-to-market, operations, and legal to drive outcomes end-to-end. 4 days/week in SF office.
Responsibilities
- Own the operating cadence end-to-end: planning, company goals and metrics, board and investor materials, and the written decisions that keep a small team pointed in the same direction.
- Sit in on customer, partner, and GPU cloud conversations with the CEO — and run them yourself when the CEO can’t — carrying each to an outcome rather than a summary.
- Step into the functional seat we haven’t hired yet, whether that’s sales or marketing in a given quarter, then build the motion behind it so the eventual hire inherits a system instead of anecdotes.
- Own contracts and the legal path: act as the internal counterpart to outside counsel and carry deals through procurement and security review so engineers stay on product.
- Pick up the ambiguous cross-functional problem — pricing, a partner program, the first go-to-market hires — drive it to a decision, and hand it off or hire against it, complementing our business operations function rather than duplicating it.
Qualifications
- 2-5 years of high-ownership work — Chief of Staff, business operations, strategy and operations, or early go-to-market at a startup, or consulting, banking, or VC followed by an operating role.
- Broad operating range across planning, metrics, contracts, vendors, and hiring, and comfort moving between them in a single day.
- Comfortable with commercial and legal detail — you can read an MSA, work with outside counsel, and hold your own on a customer or partner call.
- Clear writing and clear thinking — your memos and decks are good enough to send as-is, and a vague problem comes back from you as a recommendation.
- Technically literate enough to follow what our engineers are building and explain it to a customer. You don’t need to write code.
Skills
Benefits
- In-person, tight-knit team — 4 days/week in our SF Mission office.
- Competitive comp and meaningful startup equity.
- Catered lunches and dinners for SF employees.
- Commuter benefit.
- Team-building events and poker nights.
- Health, vision, and dental coverage.
- Flexible PTO.
- Latest Apple equipment.
- 401(k) plan with match.

About Eventual
Building the AI data engine for any modality and scale
Every breakthrough AI application, from foundation models to autonomous vehicles, relies on processing massive volumes of images, video, and complex data. But today’s data platforms (like Databricks and Snowflake) are built on top of tools made for spreadsheet-like analytics, not the petabytes of multimodal data that power AI. As a result, teams waste months on brittle infrastructure instead of conducting research and building their core product. Eventual was founded in 2022 to solve this. Our mission is to make querying any kind of data, images, video, audio, text, as intuitive as working with tables, and powerful enough to scale to production workloads. Our open-source engine, Daft, is purpose-built for real-world AI systems: coordinating with external APIs, managing GPU clusters, and handling failures that traditional engines can’t. Daft already powers critical workloads at companies like Amazon, Mobileye, Together AI, and CloudKitchens. We’ve assembled a world-class team from Databricks, AWS, Nvidia, Pinecone, GitHub Copilot, Tesla, and more, quadrupling our size within a year. With backing from Y Combinator, Caffeinated Capital, Array.vc, and top angels from the co-founders of Databricks and Perplexity, we’re looking to double the team now. Join us—Eventual is just getting started. Please note we are looking for someone who is willing and able to come into our San Francisco office in the Mission district 4 days / week.
More open roles at Eventual
- Software Engineer, Data Systems2w agoHybrid (SF)
- Software Engineer, Multimodal Backend Systems2w agoHybrid (San Francisco, CA) · Engineering
- Research Engineer, Multimodal Data5mo agoHybrid (San Francisco)
